Immigrants from South Eastern Asia vs Chickasaw Community Comparison

The statistical analysis conducted on geographies consisting of 144,499,379 people shows a mild negative correlation between the proportion of Chickasaw within Immigrant from South Eastern Asia communities in the United States with a correlation coefficient (R) of -0.396. On average, for every 1% (one percent) increase in Immigrants from South Eastern Asia within a typical geography, there is a decrease of 0.002% in Chickasaw. To illustrate, in a geography comprising of 100,000 individuals, a rise of 1,000 Immigrants from South Eastern Asia corresponds to a decrease of 1.6 Chickasaw.

When considering income, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in median household income ($91,541 compared to $70,005, a difference of 30.8%), householder income ages 45 - 64 years ($106,109 compared to $82,193, a difference of 29.1%), and householder income ages 25 - 44 years ($100,283 compared to $77,929, a difference of 28.7%). Conversely, both communities are more comparable in terms of wage/income gap (24.8% compared to 27.2%, a difference of 9.5%), median male earnings ($55,241 compared to $47,832, a difference of 15.5%), and median earnings ($47,671 compared to $40,672, a difference of 17.2%).

When considering poverty, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in single male poverty (11.4% compared to 16.3%, a difference of 42.6%), child poverty under the age of 5 (15.7% compared to 21.8%, a difference of 39.3%), and female poverty among 18-24 year olds (17.8% compared to 24.5%, a difference of 37.6%). Conversely, both communities are more comparable in terms of seniors poverty over the age of 65 (10.8% compared to 10.7%, a difference of 1.2%), seniors poverty over the age of 75 (12.2% compared to 11.6%, a difference of 5.2%), and married-couple family poverty (5.1% compared to 5.8%, a difference of 13.8%).

When considering unemployment, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in unemployment among women with children under 6 years (7.2% compared to 9.0%, a difference of 24.8%), unemployment among seniors over 75 years (8.5% compared to 7.3%, a difference of 16.2%), and unemployment among seniors over 65 years (5.1% compared to 4.4%, a difference of 16.2%). Conversely, both communities are more comparable in terms of unemployment among women with children under 18 years (5.4% compared to 5.4%, a difference of 0.22%), unemployment among ages 55 to 59 years (4.8% compared to 4.8%, a difference of 0.63%), and unemployment among ages 25 to 29 years (6.7% compared to 6.7%, a difference of 1.3%).

When considering labor participation, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in in labor force | age 16-19 (35.6% compared to 38.3%, a difference of 7.7%), in labor force | age > 16 (65.9% compared to 62.3%, a difference of 5.8%), and in labor force | age 45-54 (82.8% compared to 79.0%, a difference of 4.8%). Conversely, both communities are more comparable in terms of in labor force | age 20-24 (75.1% compared to 74.5%, a difference of 0.91%), in labor force | age 25-29 (84.4% compared to 81.9%, a difference of 3.1%), and in labor force | age 30-34 (84.7% compared to 81.9%, a difference of 3.4%).

When considering family structure, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in divorced or separated (11.4% compared to 14.2%, a difference of 24.5%), births to unmarried women (30.4% compared to 36.3%, a difference of 19.5%), and single father households (2.4% compared to 2.8%, a difference of 14.2%). Conversely, both communities are more comparable in terms of currently married (47.1% compared to 46.6%, a difference of 0.98%), family households with children (29.1% compared to 28.2%, a difference of 3.1%), and family households (67.5% compared to 64.4%, a difference of 4.8%).

When considering vehicle availability, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in 4 or more vehicles in household (8.2% compared to 7.4%, a difference of 10.6%), no vehicles in household (8.6% compared to 7.9%, a difference of 9.4%), and 3 or more vehicles in household (23.1% compared to 22.2%, a difference of 4.0%). Conversely, both communities are more comparable in terms of 1 or more vehicles in household (91.4% compared to 92.3%, a difference of 0.90%), 2 or more vehicles in household (59.6% compared to 59.0%, a difference of 1.0%), and 3 or more vehicles in household (23.1% compared to 22.2%, a difference of 4.0%).

When considering education level, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in no schooling completed (2.9% compared to 1.7%, a difference of 70.9%), master's degree (14.0% compared to 11.4%, a difference of 22.3%), and bachelor's degree (36.8% compared to 30.4%, a difference of 21.2%). Conversely, both communities are more comparable in terms of ged/equivalency (84.1% compared to 83.8%, a difference of 0.39%), 12th grade, no diploma (89.6% compared to 90.3%, a difference of 0.81%), and nursery school (97.1% compared to 98.4%, a difference of 1.3%).

When considering disability, the most significant differences between Immigrants from South Eastern Asia and Chickasaw communities in the United States are seen in disability age 35 to 64 (10.6% compared to 16.1%, a difference of 52.4%), disability age under 5 (1.1% compared to 1.7%, a difference of 51.7%), and hearing disability (3.0% compared to 4.5%, a difference of 51.3%). Conversely, both communities are more comparable in terms of disability age over 75 (48.7% compared to 51.2%, a difference of 5.2%), cognitive disability (17.0% compared to 18.5%, a difference of 8.6%), and self-care disability (2.5% compared to 2.9%, a difference of 13.3%).